Tomás Cejka - RankMe

59 papers B 21C 1Misc 3Journal 18Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting. IEEE Trans. Netw. Serv. Manag. Josef Koumar, Timotej Smolen, Kamil Jerábek, Tomás Cejka
2026	J	`jnl`	PerQoDA: strength of association between data and labels as a measure of dataset quality in network traffic classification. Appl. Intell. Katarzyna Wasielewska, Dominik Soukup, Tomás Cejka, Joe Carthy, José Camacho
2026	J	`jnl`	Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success. IEEE Trans. Netw. Serv. Manag. Jan Luxemburk, Karel Hynek, Richard Plný, Tomás Cejka
2025	B	`conf`	Botnet Detection Through Periodic Patterns in Command-and-Control Network Traffic. CNSM Dominik Oskera, Josef Koumar, Alzbeta Pokorná, Kamil Jerábek, Tomás Cejka
2025	J	`jnl`	Comparative Analysis of Deep Learning Models for Real-World ISP Network Traffic Forecasting. CoRR Josef Koumar, Timotej Smolen, Kamil Jerábek, Tomás Cejka
2025	B	`conf`	DAF: Device Annotation Framework. CNSM Matej Hulák, Václav Bartos, Josef Koumar, Tomás Cejka
2025	J	`jnl`	Drift-Based Dataset Stability Benchmark. CoRR Dominik Soukup, Richard Plný, Daniel Vasata, Tomás Cejka
2025	B	`conf`	Interpretable Threat Detection with Evidential Classifier: The MQTT Case. NOMS Jaroslav Pesek, Kensuke Fukuda, Tomás Cejka
2025	B	`conf`	Multichannel Histograms for Flow Classification. NOMS Daniel Poliakov, Kamil Jerábek, Dusan Kolár, Tomás Cejka
2025	B	`conf`	Towards Building Network Outlier Detection System for Network Traffic Monitoring. NOMS Josef Koumar, Jaroslav Pesek, Kamil Jerábek, Tomás Cejka
2025	B	`conf`	Transferability of TCP/IP-based OS fingerprinting models. Networking Matej Hulák, Václav Bartos, Tomás Cejka
2025	J	`jnl`	Universal Embedding Function for Traffic Classification via QUIC Domain Recognition Pretraining: A Transfer Learning Success. CoRR Jan Luxemburk, Karel Hynek, Richard Plný, Tomás Cejka
2024	B	`conf`	Analysis of Statistical Distribution Changes of Input Features in Network Traffic Classification Domain. NOMS Lukás Jancicka, Josef Koumar, Dominik Soukup, Tomás Cejka
2024	J	`jnl`	CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting. CoRR Josef Koumar, Karel Hynek, Tomás Cejka, Pavel Siska
2024	Misc	`conf`	LGBM2VHDL: Mapping of LightGBM Models to FPGA. FCCM Tomás Martínek, Jan Korenek, Tomás Cejka
2024	B	`conf`	MFWDD: Model-based Feature Weight Drift Detection Showcased on TLS and QUIC Traffic. CNSM Lukás Jancicka, Dominik Soukup, Josef Koumar, Filip Nemec, Tomás Cejka
2024	J	`jnl`	NetTiSA: Extended IP flow with time-series features for universal bandwidth-constrained high-speed network traffic classification. Comput. Networks Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2024	B	`conf`	TCI: A system for distributed network monitoring, troubleshooting and dataset creation. NOMS Dominik Soukup, Jaroslav Pesek, Lukás Hejcman, David Benes, Tomás Cejka
2023	—	`conf`	Active Learning Framework For Long-term Network Traffic Classification. CCWC Jaroslav Pesek, Dominik Soukup, Tomás Cejka
2023	J	`jnl`	BOTA: Explainable IoT Malware Detection in Large Networks. IEEE Internet Things J. Daniel Uhrícek, Karel Hynek, Tomás Cejka, Dusan Kolár
2023	—	`conf`	Encrypted traffic classification: the QUIC case. TMA Jan Luxemburk, Karel Hynek, Tomás Cejka
2023	B	`conf`	Enhancing DeCrypto: Finding Cryptocurrency Miners Based on Periodic Behavior. CNSM Josef Koumar, Richard Plný, Tomás Cejka
2023	J	`jnl`	Fine-grained TLS services classification with reject option. Comput. Networks Jan Luxemburk, Tomás Cejka
2023	B	`conf`	Look at my Network: An Insight into the ISP Backbone Traffic. CNSM Tomás Benes, Jaroslav Pesek, Tomás Cejka
2023	Misc	`conf`	Machine Learning Metrics for Network Datasets Evaluation. SEC Dominik Soukup, Daniel Uhrícek, Daniel Vasata, Tomás Cejka
2023	J	`jnl`	NetTiSA: Extended IP Flow with Time-series Features for Universal Bandwidth-constrained High-speed Network Traffic Classification. CoRR Josef Koumar, Karel Hynek, Jaroslav Pesek, Tomás Cejka
2023	B	`conf`	Network Traffic Classification Based on Single Flow Time Series Analysis. CNSM Josef Koumar, Karel Hynek, Tomás Cejka
2023	J	`jnl`	Network Traffic Classification based on Single Flow Time Series Analysis. CoRR Josef Koumar, Karel Hynek, Tomás Cejka
2023	—	`conf`	Unevenly Spaced Time Series from Network Traffic. TMA Josef Koumar, Tomás Cejka
2022	J	`jnl`	Active Learning Framework to Automate NetworkTraffic Classification. CoRR Jaroslav Pesek, Dominik Soukup, Tomás Cejka
2022	—	`conf`	DeCrypto: Finding Cryptocurrency Miners on ISP Networks. NordSec Richard Plný, Karel Hynek, Tomás Cejka
2022	J	`jnl`	Discovering Coordinated Groups of IP Addresses Through Temporal Correlation of Alerts. IEEE Access Martin Zádník, Jan Wrona, Karel Hynek, Tomás Cejka, Martin Husák
2022	—	`conf`	Evaluation of the Limit of Detection in Network Dataset Quality Assessment with PerQoDA. PKDD/ECML Workshops (2) Katarzyna Wasielewska, Dominik Soukup, Tomás Cejka, José Camacho
2022	J	`jnl`	Fine-grained TLS Services Classification with Reject Option. CoRR Jan Luxemburk, Tomás Cejka
2022	—	`conf`	Large Scale Analysis of DoH Deployment on the Internet. ESORICS (3) Sebastián García, Joaquín Bogado, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
2022	B	`conf`	Network traffic classification based on periodic behavior detection. CNSM Josef Koumar, Tomás Cejka
2022	J	`jnl`	Summary of DNS Over HTTPS Abuse. IEEE Access Karel Hynek, Dmitrii Vekshin, Jan Luxemburk, Tomás Cejka, Armin Wasicek
2022	B	`conf`	Tunneling through DNS over TLS providers. CNSM Lukás Melcher, Karel Hynek, Tomás Cejka
2021	—	`conf`	Detection of HTTPS Brute-Force Attacks with Packet-Level Feature Set. CCWC Jan Luxemburk, Karel Hynek, Tomás Cejka
2021	J	`jnl`	Large Scale Measurement on the Adoption of Encrypted DNS. CoRR Sebastián García, Karel Hynek, Dmitrii Vekshin, Tomás Cejka, Armin Wasicek
2021	B	`conf`	Novel HTTPS classifier driven by packet bursts, flows, and machine learning. CNSM Zdena Tropková, Karel Hynek, Tomás Cejka
2021	B	`conf`	Towards Evaluating Quality of Datasets for Network Traffic Domain. CNSM Dominik Soukup, Peter Tisovcík, Karel Hynek, Tomás Cejka
2020	B	`conf`	DoH Insight: detecting DNS over HTTPS by machine learning. ARES Dmitrii Vekshin, Karel Hynek, Tomás Cejka
2020	—	`conf`	Evaluating Bad Hosts Using Adaptive Blacklist Filter. MECO Karel Hynek, Tomás Cejka, Martin Zádník, Hana Kubátová
2020	C	`conf`	Pipelined ALU for effective external memory access in FPGA. DSD Tomás Benes, Michal Kekely, Karel Hynek, Tomás Cejka
2020	Misc	`conf`	Refined Detection of SSH Brute-Force Attackers Using Machine Learning. SEC Karel Hynek, Tomás Benes, Tomás Cejka, Hana Kubátová
2018	B	`conf`	Augmented DDoS Mitigation with Reputation Scores. ARES Tomás Jánský, Tomás Cejka, Martin Zádník, Václav Bartos
2018	—	`conf`	Enhanced Flow Monitoring with P4 Generated Flexible Packet Parser. AIMS Tomás Cejka, Petr Velan, Jirí Havránek, Pavel Benácek
2018	J	`jnl`	P4-To-VHDL: Automatic generation of high-speed input and output network blocks. Microprocess. Microsystems Pavel Benácek, Viktor Pus, Hana Kubátová, Tomás Cejka
2017	—	`conf`	Hunting SIP Authentication Attacks Efficiently. AIMS Tomás Jánský, Tomás Cejka, Václav Bartos
2017	—	`conf`	Making Flow-Based Security Detection Parallel. AIMS Marek Svepes, Tomás Cejka
2017	—	`conf`	Preserving Relations in Parallel Flow Data Processing. AIMS Tomás Cejka, Martin Zádník
2016	—	`conf`	Analysis of Vertical Scans Discovered by Naive Detection. AIMS Tomás Cejka, Marek Svepes
2016	B	`conf`	Building a feedback loop to capture evidence of network incidents. CNSM Zdenek Rosa, Tomás Cejka, Martin Zádník, Viktor Pus
2016	B	`conf`	Configuration of open vSwitch using OF-CONFIG. NOMS Tomás Cejka, Radek Krejcí
2016	B	`conf`	NEMEA: A framework for network traffic analysis. CNSM Tomás Cejka, Václav Bartos, Marek Svepes, Zdenek Rosa, Hana Kubátová
2015	—	`conf`	Using Application-Aware Flow Monitoring for SIP Fraud Detection. AIMS Tomás Cejka, Václav Bartos, Lukas Truxa, Hana Kubátová
2014	—	`conf`	Change-point detection method on 100 Gb/s ethernet interface. ANCS Pavel Benácek, Rudolf B. Blazek, Tomás Cejka, Hana Kubátová
2014	—	`conf`	Stream-wise detection of surreptitious traffic over DNS. CAMAD Tomás Cejka, Zdenek Rosa, Hana Kubátová